Software Engineer - Einstein Platform

Salesforce is revolutionizing how organizations build and deploy advanced AI and machine learning products through their Einstein platform. This role is at the forefront of democratizing Generative AI, Predictive AI, and AI Agents, enabling businesses to create, deploy, and manage intelligent applications efficiently.

As a Software Engineer on the Einstein Platform team, you'll be working with cutting-edge technologies to build scalable, distributed machine learning services. You'll be responsible for designing and implementing microservices architectures for ML pipelines, APIs, and model management systems using modern containerized stack with Kubernetes and Spinnaker.

The position offers an opportunity to work with pioneering technologies including Sagemaker, TensorFlow, PyTorch, and Spark, while building on cloud platforms like AWS and GCP. You'll take ownership of core platform technologies, lead high-impact engineering initiatives, and contribute to the technical roadmap that shapes the future of AI at Salesforce.

This role combines technical leadership with hands-on development, requiring expertise in JVM-based languages, Python, and distributed systems. You'll be part of a team that's pushing the boundaries of machine learning and AI, working on projects that significantly impact product growth while mentoring other engineers.

The ideal candidate brings 3+ years of experience in Big Data and machine learning, with a proven track record of leading impactful projects. You'll be joining a company that's at the forefront of AI innovation, offering the chance to work on technology that transforms how businesses leverage artificial intelligence.